Nowadays, it is no longer normal to hire a hotel without rst looking at its ratings, or to try a restaurant without having received a recommendation or having previously read opinions about the service. The comments and ratings that are read through the Internet on social networks such as Twitter or more specialized websites such as Booking are increasingly taken into account, and these assessments do not necessarily have to be written by culinary experts or important critics. They are indeed written by people who go to a place, experience it, and then decide to share their own experience. These comments are usually a ecting sales more than advertising, becoming a very important issue to take into account by companies all around the world. In recent years, many companies have been able to take advantage of the data generated by users to get bene t by obtaining statistics and selling them to third party companies. Users not only generate useful data every time they comment on a website, but also every time they connect, o ering data as the place they are connecting from, their age or gender which are really useful bits of information to classify customers. With these two ideas as inspiration, a platform has been designed and built. It is divided into a framework based on a REST service, and in an Android application in addition to a small web portal. On the one hand, the framework aims to provide all the necessary tools to quickly deploy any application (web, smartphone, desktop) that needs a generic backend in order to o er a social network service for the valuation of any concept, including the collection of user data. On the other hand, the Android application, which uses this framework, focuses on taking the user's location and displaying the places of interest around them on a map. The user can visit the pro le of each place to see the ratings of their features and the comments left by other users of the application. And nally, the web portal, shows some of the statistics that could be collected and display them formatted in graphs containing data about users, their votes and their comments